Dr. Limor Ziv
Leading entrepreneur and researcher in the AI field, CEO and founder of the Humane AI startup.

Leading entrepreneur and researcher in the AI field, CEO and founder of the Humane AI startup.
Biography
Dr. Limor Ziv is an entrepreneur and researcher in the field of responsible AI, a sought-after lecturer, CEO and founder of the Humane AI startup, which was selected by Meta as one of the 15 most promising startups of the year. In her lectures she exposes the hidden dangers of algorithms and provides practical tools for smart data management, understanding AI decision-making processes and reducing technological risks. Limor guides companies and organizations in leveraging opportunities and preventing failures in the new era. Her clients include KPMG, Google, Bright Data, Medison Pharma and other leading technology companies. Limor lectures at the academy for advanced degrees and was selected for the Tel Aviv University '100 Outstanding Lecturers' list.
Key Topics
Keynotes and Workshops
Algorithmic decisions, human outcomes. How do AI systems make decisions, and how can it work in our favor?
Being human in an age of machines: On consciousness, morality, and human experience in the era of artificial intelligence
Adopting AI? Excellent. Now is the time to learn how to do it - smart, safe, and efficient.
Related Articles
AI and Elections: How Artificial Intelligence Is Reshaping Democratic Processes
Dr. Limor Ziv, founder of Humane AI, analyzes the AI forces at play in upcoming elections: flooding and precision targeting operate simultaneously, both exploiting the same moment of human vulnerability.
Responsible AI Is Good Business: What 200 VC Funds Really Think
A new study of over 200 VC funds and 80 LPs reveals that 73% of investors believe responsible AI companies will outperform financially. Yet only 14% rate their own AI risk assessment as good.
The AI That Always Agrees With You - and Why That's Dangerous
Studies from Stanford and Oxford reveal a troubling pattern: the warmer and more empathetic an AI model is trained to be, the more it leads us toward larger mistakes. Dr. Limor Ziv explains AI Sycophancy.